Mac16,5
Geekbench AI Score
5963
Single Precision Score
9156
Half Precision Score
7013
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
3081
572.9 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3713
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19187
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31888
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24696
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.1 IPS |
|
|
Object Detection (HP)
|
97% |
3881
309.0 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8080
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4678
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8892
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14524
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10414
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37230
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53098
68.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39703
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9719
358.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5403
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6204
106.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9180
158.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9139
157.9 IPS |
